Download PDF
BuBuGao drives supply chain efficiency with Manhattan’s Warehouse Management solution
Technology Category
- Functional Applications - Warehouse Management Systems (WMS)
Applicable Industries
- Retail
Applicable Functions
- Warehouse & Inventory Management
- Logistics & Transportation
Use Cases
- Inventory Management
- Supply Chain Visibility
- Warehouse Automation
Services
- System Integration
- Software Design & Engineering Services
The Challenge
BuBuGao faced significant challenges with its legacy warehouse management system, which was inefficient and inaccurate. The old system relied heavily on manual data handling, leading to data integrity issues and making rapid responses difficult. The disparate systems were also expensive to scale and negatively impacted stability during upgrades. These problems affected the entire supply chain, particularly in transportation management, where data was often collected manually and later entered into spreadsheets, causing delays and inaccuracies.
About The Customer
Better Life Commercial Chain Share Co Ltd (BuBuGao) is a leading operator of supermarkets and department stores in Central China, focusing on the wholesale and retail of grocery products and household electrical appliances. Listed on the Shenzhen Stock Exchange, BuBuGao operates over 100 stores in Hunan and Jiangxi Provinces and employs more than 30,000 people. The company has a strong presence in the region and is known for its rapid growth and extensive retail network.
The Solution
BuBuGao implemented Manhattan Associates’ Warehouse Management solution to address its challenges. The solution provided a single, secure system platform that consolidated data across warehouses, suppliers, and retail outlets. This centralised platform optimised the entire replenishment process by automating tasks such as order preparation, stock checking, and data analysis. The implementation was completed within six months, significantly improving warehouse management efficiency and enabling better data exchange with manufacturers, suppliers, and retail outlets. The solution also enhanced data accuracy and integrity, providing centralised control over operations and improving visibility and accuracy of inventory management.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.